RAS Mutation Status Should Not Be Used to Predict Outcome from Cytoreductive Surgery and Hyperthermic Intraperitoneal Chemotherapy for Colorectal Peritoneal Metastases

BACKGROUND

Genetic biomarkers guide systemic anti-cancer treatment (SACT) in metastatic colorectal cancer. It has been suggested they have a role in selecting patients with colorectal peritoneal metastases (CRPM) for cytoreductive surgery (CRS) with hyperthermic intraperitoneal chemotherapy (HIPEC). This study aims to quantify the effect of mutation status on overall survival (OS), adjusting for confounders such as pre-operative systemic anticancer treatment (SACT).

PATIENTS AND METHODS

Retrospective analysis of patients undergoing CRS/HIPEC for CRPM at a national peritoneal tumour centre (2004-2017) was performed. Demographics, treatment history and operative data were extracted. Known biomarker gene mutation status was noted including: KRAS, NRAS, BRAF, PIK3CA and MMR. Cox regression analysis and Kaplan-Meier curves were used to determine overall survival.

RESULTS

One hundred ninety-five patients were included. Median follow-up time was 34.7 months (range 5.4-184.9 months) and median OS was 38.7 months (95% CI 32.4-44.9 months). Biomarker status was as follows: KRAS (n = 114), NRAS (n = 85), BRAF (n = 44), PIK3CA (n = 15) and MMR (n = 21). Mutation rates were 45.6%, 3.5%, 13.6%, 13.3% and 14.3%, respectively. Seventy-four per cent underwent complete cytoreduction (CC = 0), 81% received SACT pre-CRS/HIPEC and 65% post-CRS/HIPEC. RAS (p = 0.21) or BRAF (p = 0.109) mutation status did not predict OS. Nodal involvement, extramural vascular invasion, Peritoneal Cancer Index (PCI) score, CC score, SACT post-HIPEC and NRAS mutation were significant negative predictors of OS in univariate analysis (p < 0.05). Multivariate Cox regression confirmed CC-score > 1 (HR: 7.599, 95% CI 3.402-16.974, p < 0.0001) as a negative predictor of OS. RAS mutation status did not affect outcome (HR: 1.682, 95% CI 0.995-2.843, p = 0.052).

CONCLUSIONS

RAS mutation status should not in isolation be used to select patients for CRS/HIPEC.

Evaluation of prognostic risk models for postoperative pulmonary complications in adult patients undergoing major abdominal surgery: a systematic review and international external validation cohort study

BACKGROUND

Stratifying risk of postoperative pulmonary complications after major abdominal surgery allows clinicians to modify risk through targeted interventions and enhanced monitoring. In this study, we aimed to identify and validate prognostic models against a new consensus definition of postoperative pulmonary complications.

METHODS

We did a systematic review and international external validation cohort study. The systematic review was done in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We searched MEDLINE and Embase on March 1, 2020, for articles published in English that reported on risk prediction models for postoperative pulmonary complications following abdominal surgery. External validation of existing models was done within a prospective international cohort study of adult patients (≥18 years) undergoing major abdominal surgery. Data were collected between Jan 1, 2019, and April 30, 2019, in the UK, Ireland, and Australia. Discriminative ability and prognostic accuracy summary statistics were compared between models for the 30-day postoperative pulmonary complication rate as defined by the Standardised Endpoints in Perioperative Medicine Core Outcome Measures in Perioperative and Anaesthetic Care (StEP-COMPAC). Model performance was compared using the area under the receiver operating characteristic curve (AUROCC).

FINDINGS

In total, we identified 2903 records from our literature search; of which, 2514 (86·6%) unique records were screened, 121 (4·8%) of 2514 full texts were assessed for eligibility, and 29 unique prognostic models were identified. Nine (31·0%) of 29 models had score development reported only, 19 (65·5%) had undergone internal validation, and only four (13·8%) had been externally validated. Data to validate six eligible models were collected in the international external validation cohort study. Data from 11 591 patients were available, with an overall postoperative pulmonary complication rate of 7·8% (n=903). None of the six models showed good discrimination (defined as AUROCC ≥0·70) for identifying postoperative pulmonary complications, with the Assess Respiratory Risk in Surgical Patients in Catalonia score showing the best discrimination (AUROCC 0·700 [95% CI 0·683-0·717]).

INTERPRETATION

In the pre-COVID-19 pandemic data, variability in the risk of pulmonary complications (StEP-COMPAC definition) following major abdominal surgery was poorly described by existing prognostication tools. To improve surgical safety during the COVID-19 pandemic recovery and beyond, novel risk stratification tools are required.

FUNDING

British Journal of Surgery Society.

Development and internal validation of a clinical prediction model for 90-day mortality after lung resection: the RESECT-90 score

OBJECTIVES

The ability to accurately estimate the risk of peri-operative mortality after lung resection is important. There are concerns about the performance and validity of existing models developed for this purpose, especially when predicting mortality within 90 days of surgery. The aim of this study was therefore to develop a clinical prediction model for mortality within 90 days of undergoing lung resection.

METHODS

A retrospective database of patients undergoing lung resection in two UK centres between 2012 and 2018 was used to develop a multivariable logistic risk prediction model, with bootstrap sampling used for internal validation. Apparent and adjusted measures of discrimination (area under receiving operator characteristic curve) and calibration (calibration-in-the-large and calibration slope) were assessed as measures of model performance.

RESULTS

Data were available for 6600 lung resections for model development. Predictors included in the final model were age, sex, performance status, percentage predicted diffusion capacity of the lung for carbon monoxide, anaemia, serum creatinine, pre-operative arrhythmia, right-sided resection, number of resected bronchopulmonary segments, open approach and malignant diagnosis. Good model performance was demonstrated, with adjusted area under receiving operator characteristic curve, calibration-in-the-large and calibration slope values (95% confidence intervals) of 0.741 (0.700, 0.782), 0.006 (-0.143, 0.156) and 0.870 (0.679, 1.060), respectively.

CONCLUSIONS

The RESECT-90 model demonstrates good statistical performance for the prediction of 90-day mortality after lung resection. A project to facilitate large-scale external validation of the model to ensure that the model retains accuracy and is transferable to other centres in different geographical locations is currently underway.

Improving depression screening in HIV positive pregnant women

Introduction

Depression is a common complication of pregnancy and the postpartum period. Up to 70% percent of women report depressive symptoms during their pregnancy, and approximately 10-16% meet full criteria for major depressive disorder. Women with a history of perinatal or non-perinatal major depression are likely to relapse during pregnancy. Research shows that exposure to untreated depression and stress can have negative consequences on the birth outcome and child development. Given the harmful effects of this disease on both the mother and child, it is essential that all pregnant patients be screened for depression. Literature review did not reflect many studies that focus on depression screening in this population, let alone in pregnant patients with Human Immunodeficiency Virus (HIV). Our study focuses on the impact the mandatory screening tool had on the incidence of depression screening in pregnant HIV patients.

Objectives

- Gain understanding of the Family Focused HIV Health Care Program for Women - Understand the importance of a mandatory screening tool for depression

Methods

Using standardized Quality Improvement tools Implementation of screening tool in notes & enforcing a hard stop in the medical records

Results

We noted both qualitative & quantitative improvement in depression screening. Qualitatively the screening has been standardized by creating a universal workflow by the inclusion of screening tools (PHQ2 and PHQ9) in Electronic Medical records. Quantitatively there has been a 34.9% improvement in screening by the case managers in the post interventional quarter.

Conclusions

Significant improvement noted in the incidence of depression screening by implementation a mandatory screening tool

External validation of six existing multivariable clinical prediction models for short-term mortality in patients undergoing lung resection

 

OBJECTIVES

National guidelines advocate the use of clinical prediction models to estimate perioperative mortality for patients undergoing lung resection. Several models have been developed that may potentially be useful but contemporary external validation studies are lacking. The aim of this study was to validate existing models in a multicentre patient cohort.

METHODS

The Thoracoscore, Modified Thoracoscore, Eurolung, Modified Eurolung, European Society Objective Score and Brunelli models were validated using a database of 6600 patients who underwent lung resection between 2012 and 2018. Models were validated for in-hospital or 30-day mortality (depending on intended outcome of each model) and also for 90-day mortality. Model calibration (calibration intercept, calibration slope, observed to expected ratio and calibration plots) and discrimination (area under receiver operating characteristic curve) were assessed as measures of model performance.

RESULTS

Mean age was 66.8 years (±10.9 years) and 49.7% (n = 3281) of patients were male. In-hospital, 30-day, perioperative (in-hospital or 30-day) and 90-day mortality were 1.5% (n = 99), 1.4% (n = 93), 1.8% (n = 121) and 3.1% (n = 204), respectively. Model area under the receiver operating characteristic curves ranged from 0.67 to 0.73. Calibration was inadequate in five models and mortality was significantly overestimated in five models. No model was able to adequately predict 90-day mortality.

CONCLUSIONS

Five of the validated models were poorly calibrated and had inadequate discriminatory ability. The modified Eurolung model demonstrated adequate statistical performance but lacked clinical validity. Development of accurate models that can be used to estimate the contemporary risk of lung resection is required.

Regulation of the cAMP signal transduction pathway by protein kinase C in rat submandibular cells

Treatment of rat submandibular acinar cell extracts with the phorbol ester 12-O-tetradecanoylphorbol 13-acetate (TPA) caused the dose-dependent activation of protein kinase C (PKC), assessed by the phosphorylation of a novel and highly specific substrate. This effect was duplicated by a diacylglycerol, but not by the 4 alpha-phorbol ester 4 alpha-phorbol 12,13-didecanoate. The TPA elevation of PKC was blocked by the PKC inhibitors H-7 and sangivamycin. In intact cells, TPA caused the translocation of PKC from cytosol to membrane, consistent with its known mode of activation. The beta-adrenergic agonist, isoproterenol, stimulated cAMP levels which were significantly reduced by preactivation of PKC. This inhibitory PKC effect was reversed by H-7. When cAMP was stimulated at the post-receptor level, however, by forskolin, NaF or GTP[gamma S], PKC did not inhibit, but rather enhanced the cyclic nucleotide response. Since PKC phosphorylated an endogenous protein of 55 kDa, the size of the beta 1 receptor, these findings indicate that, as in other cell types, PKC can desensitize adenylate cyclase by direct phosphorylation of the beta receptor, but potentiate the cAMP response by a post-receptor mechanism. In mucin secretion studies in the model, TPA alone caused the cAMP-independent release of up to 44% total mucin, which was much less than additive with the isoproterenol response. When the cAMP-mucosecretory response was stimulated at the adenylate cyclase level by forskolin, however, the TPA + forskolin effects were additive. These findings on the modulation of cAMP by PKC indicate cross-talk regulation in the phosphoinositide-cAMP signal transduction pathways in submandibular acinar cells.